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43:36EN
Cognitive Revolution "How AI Changes Everything"· Nov 14, 2026Podcast · 2 speakersNathan Labenz: Use AI’s benefits without surrendering controlHost Gene KimA red-team veteran explains why agents need escalation paths and manual overrides—even as he argues for wider AI adoption.
1:24:55EN
All-In Podcast· Nov 14, 2026Podcast · 4 speakersNvidia after Jensen Huang: the AI investment engine faces a testHost Jason Calacanis, Chamath Palihapitiya, David Sacks, David FriedbergThe All-In hosts debate Nvidia’s leadership change, the future of AI chip controls and what a slower investment cycle could mean for Anthropic.
1:15:58EN
20VC with Harry Stebbings· Nov 14, 2026Podcast · 2 speakersFractile’s Walter Goodwin wants to break the AI memory bottleneckGuest Walter Goodwin · Host Harry StebbingsGoodwin explains why faster inference needs both memory bandwidth and capacity, and what must happen before a new chip can reach scale.
23:31EN
PragerU· Nov 14, 2026Caroline Downey on WNBA disputes and women’s sports categoriesShabbos Kestenbaum, Caroline Downey · PragerUDowney argues for sex-based sports categories and critiques the WNBA’s handling of Caitlin Clark and Sophie Cunningham.
1:34:04EN
Chris Williamson· Nov 14, 2026Podcast · 3 speakersDan + Shay on success, grief and saving their partnershipGuest Dan Smyers, Shay Mooney · Host Chris WilliamsonAfter years of chasing milestones, the duo found a new purpose in honest songwriting and a difficult conversation that repaired their friendship.
17:31EN
AI Engineer· Nov 14, 2026Lauren Tan: Make AI-generated code trustworthy with enforceable checksLauren Tan · SpaceXSIThe Grok Bot engineer describes the architecture, verification and review changes behind her team’s high-volume agent workflow.
1:00:06EN
Y Combinator· Nov 14, 2026Grok Bot’s team: give agents checks before giving them autonomyLauren Tan, Roman Ugarte · Grok BotLauren Tan and Roman Ugarte explain how shared bots, codebase guardrails and human product judgment fit into their workflow.
1:16:51EN
Stanford Online· Nov 14, 2026Michael Ryan: Choosing Agent Patterns by Control Flow and ContextMichael Ryan · Stanford UniversityStanford’s CS329Z explains workflow patterns, reasoning-action loops, and ways to keep an agent’s context focused.
13:03ENPragerU· Nov 14, 2026Iran holds to its uranium position as Nvidia changes CEOsCasey · PragerUIran rejects sending enriched uranium abroad; Nvidia appoints an interim CEO, and NASA plans a nuclear-powered lunar rover.
31:22ENPragerU· Nov 14, 2026Dennis Prager calls for “American values first”Dennis Prager, Marissa Streit · PragerUPrager argues that conservatism should center liberty, religious belief and a shared national identity, then answers questions about morality and the Hebrew Bible.
55:11EN
Google Cloud Tech· Nov 14, 2026A no-code AI app build: diagnose the system before asking for a fixDevin Chasanoff · Google CloudDevin Chasanoff builds a workout coach in stages, using tests and context tracing to fix an API connection and unintended plan changes.
1:17:14ENStanford Online· Nov 13, 2026DSPy, LangGraph and the engineering around an AI agentMichael Ryan · Stanford UniversityMichael Ryan compares agent frameworks through a calendar demo, then shows why evaluation, recovery and tracing matter.
1:40:43ENStanford Online· Nov 13, 2026How AI agents find information and take actionAfshine Amidi, Shervine Amidi · Stanford UniversityStanford instructors explain why useful agents need retrieval, well-described tools and a harness that manages context and actions.
10:00ENChris Williamson· Nov 13, 2026PodcastWhy Chris Williamson wants caregiving to carry more statusWilliamson argues that judging women by traditionally male achievements can devalue motherhood and other forms of care.
42:19EN
Theo - t3․gg· Nov 13, 2026Opus or Fable? Match the coding model to the workTheo Browne · Ping LabsTheo Browne compares two Claude models and explains how a thorough tester and a more exploratory second opinion helped solve a performance problem.
1:34:01EN
Jane Street· Nov 13, 2026The 95% problem: AI, chat trading and human reviewYaron Minsky, Chloe Casale · Jane StreetJane Street’s Chloe Casale explains why traders still use chat, how AI parsing can fail, and why hiring needs room for specialists.
31:31EN
Every· Nov 13, 2026Podcast · 5 speakersNursa gave every employee AI building tools; its first prototypes became real productsGuest Lauren Rhode, Curtis Anderson · Host Brian DellA nursing-staffing company reports savings and new applications, while its leaders confront governance, quality and resistance.
20:19EN
OpenAI· Nov 13, 2026How Mozilla verifies AI-found Firefox bugs before engineers fix themBrian Grinstead, Clint Gibler · MozillaMozilla combines agents with fuzzing, independent checks and human review; it reports roughly eight times as many discoveries and fixes as in 2025.
46:06EN
a16z· Nov 13, 2026AI attacks are moving faster than companies can patchAmi Luttwak, Zane Lackey, Sarah Wang · WizWiz’s Ami Luttwak argues for continuous testing of exposed systems and security designed to respond in minutes.
13:33EN
The Next Big Thing· Nov 13, 2026Inside IBM’s quantum lab: a chip, a refrigerator and a hybrid computerJacklyn Dallas, Olivia Lanes · The Next Big ThingA visit with physicist Olivia Lanes explains why quantum processors need extreme cooling and how they may complement classical supercomputers.
19:39ENTheo - t3․gg· Nov 13, 2026Theo revises his Gemini 4 Carbon assessment after measuring coding delaysTheo Browne · T3His own agent runs showed long response-start waits and incomplete reviews; he asks Google to investigate hosting and cache behavior.
51:27EN
SemiAnalysis· Nov 13, 2026Podcast · 3 speakersNVIDIA’s CEO transition puts China chip policy and execution in focusGuest Jordan Schneider · Host Jordan Nanos, Dylan PatelThe hosts debate chipmaking controls, cloud access and whether NVIDIA can retain its execution edge after Jensen Huang’s exit.
44:26EN
Dwarkesh Patel· Nov 13, 2026PodcastWhy Dwarkesh Patel moved his AI-research automation forecast forwardPatel’s median estimate is 2028, with significant uncertainty; he argues that verifiable research tasks could accelerate recursive AI progress.
23:56EN
Masters of Scale· Nov 12, 2026Podcast · 2 speakersWalmart’s CEO wants faster change without losing the human connectionGuest John Furner · Host Jeff BermanJohn Furner discusses agent shopping profiles, frontline tools and the leadership work needed to move a large retailer.Load moreShowing 24 of 6,243